An Introduction to Algorithms for Inference in Belief Nets
As belief nets are applied to represent larger and more complex knowledge bases, the development of more efficient inference algorithms is becoming increasingly urgent. A brief survey of different approaches is presented to provide a framework for understanding the following papers in this section.
PDF Link: /papers/89/p129-henrion.pdf
AUTHOR = "Max Henrion
TITLE = "An Introduction to Algorithms for Inference in Belief Nets",
BOOKTITLE = "Uncertainty in Artificial Intelligence 5 Annual Conference on Uncertainty in Artificial Intelligence (UAI-89)",
PUBLISHER = "Elsevier Science",
ADDRESS = "Amsterdam, NL",
YEAR = "1989",
PAGES = "129--138"